RED метрики для flask приложения без усилий.
Как добавить метрики который давно просят DevOps/SRE за пару строчек кода.

Introduction

Against the backdrop of the coronavirus pandemic, the demand for cloud gaming services has noticeably increased. These services provide computing power to launch video games and stream gameplay to user devices in real-time. The most obvious advantage of this gaming type is that gamers do not need to have high-end hardware. An inexpensive computer is enough to run the client, spending time in self-isolation while the remote server carries out all calculations.

NVIDIA GeForce NOW is one of these cloud-based game streaming services. According to Google Trends, worldwide search queries for GeForce NOW peaked in February 2020. This correlates with the beginning of quarantine restrictions in many Asian, European, and North and South American countries, as well as other world regions. At the same time in Russia, where the self-isolation regime began in March, we see a similar picture with a corresponding delay.

Given the high interest in GeForce NOW, we decided to explore this service from an information security standpoint.

Do you know AI can save us from a worldwide pandemic?

Yeah, it's true. Our global researchers have touted these two buzzing technologies can provide a substantial social benefit to this worldwide health crisis.

Before I begin, I would like to take this moment to say THANK YOU to all our COVID-19 Warriors standing on the frontline and working day and night for us. We can’t thank them enough. Our healthcare staff, police, scientist, security guards, and sweepers. Their contribution is overwhelming and commendable ?

Discovering a drug for any medicine demands the joint efforts of the world's brightest minds. The process is notoriously long, complicated, and expensive. And that's how health experts are involved in searching COVID-19 medicine. In the midst of such a crisis, artificial intelligence solutions are offering a new hope that a cure might appear faster with it.

«Nothing makes you feel stupid quite like reading a scientific journal article» — writes the TV presenter and molecular biologist Adam Ruben. In a way, he's right — many of us get lost in the often confusing language of peer-reviewed papers. But the situation does not have to be hopeless. A bit of effort on the readers' part can go a long way. We looked at the techniques actual scientists use to navigate academic content. And compiled them into this two-part guide (Part 1: Getting Better at Understanding Academic Papers).

QEMU is a rather well-known application for emulation. Static analysis can help developers of complex projects such as QEMU catch errors at early stages and generally improve quality and reliability of a project. In this article, we will check the source code of the QEMU application for potential vulnerabilities and errors using the PVS-Studio static analysis tool.

Hey guys! Let me walk you through the next part of our dark-style code academy. In this post, we will discover some other ways how to slow down the reading speed of your code. The next approaches will help you to decrease maintenance and increase a chance to get a bug in your code. Ready? Let's get started.

How much does your privacy cost? Your medical information, your home address? How much is your browsing and search history? You might have never thought about that.

About a year ago, Figma added the ability to develop and publish your own plugins. Those who would like to please themselves and everyone around them with additional features or just to have the experience of lifetime with Figma have longed for this feature to appear. 

Inside the plugin, you can do whatever is available to the developer on the web. There are practically no restrictions on the possibilities, except for those related to the system. Fortunately, they are all detailed in the documentation. Many detailed articles have already been written on the topic of technical implementation of plugins, for example, here or here. As product designers, Lev Bruk and I wanted to go through all the stages of plugin release, from the idea and coding to promoting and working with feedback from real users. That’s exactly what we’re going to cover in the article.

In a nutshell: MTA-STS is a way to protect emails against interception (man-in-the-middle aka MitM attacks) between email servers. It partially resolves architectural issues in email protocols and is described in a recent RFC 8461 standard.

Large scale equals distributed. Distributed equals inevitable complexity. Complexity at runtime equals extensive monitoring. At Hazelcast, doing distributed systems well is our bread and butter. It means we have no choice but to be huge fans of collecting all kinds of metrics to stay on guard of the data our users trust us with.

In Management Center 4.2020.08, we drastically changed the model of how we transfer the metric data from the cluster members to the Management Center, how we store it, and how we display it. In this post, we are going to talk about the latter bit of the triad.

We will discuss what to do when you want to display all the data at once, but your users have a limited number of monitors and only one pair of eyes. We will speculate about what users actually want to see when they look at a chart of a monitoring web app. We will go over different approaches to filter the data, and how an average, a median, and a definite integral play their key roles.

Cross-posted from hazelcast.com

«Nothing makes you feel stupid quite like reading a scientific journal article» — writes the TV presenter and molecular biologist Adam Ruben. In a way, he's right — many of us get lost in the often confusing language of peer-reviewed papers. But the situation does not have to be hopeless. A bit of effort on the readers' part can go a long way. We looked at the techniques actual scientists use to navigate academic content.

And compiled them into this two-part guide (part 2).

In his book «INSPIRED: How to Create Tech Products Customers Love,» Marty Cagan mentioned that successful teams put the following principles at the forefront when working with feature stories:

• Risks are analyzed in advance, not at the end.
• Products are defined and designed collaboratively, not sequentially.
• The team works on solving the problem, not on implementation.

The first two are more or less clear. Any well-educated manager knows that risks should be identified and assessed in the upfront. Besides that, many modern teams work or try to behave themselves on Agile's principles. But there are not so many companies in the world that follow the third principle.

Let us see what we can do.

What do these terms mean? And what is the difference?

Data Science and Artificial Intelligence are creating a lot of buzzes these days. But what do these terms mean? And what is the difference between them?

While the terms Data Science and Artificial Intelligence (AI) comes under the same domain and are inter-connected to each other, they have their specific applications and meaning.

There’s no slowing down the spread of AI and data science. Many big tech giants are extensively investing in these technologies. As per the recent survey, it is estimated that artificial intelligence could add $15.7 trillion to the global economy by 2030.

Through this piece of writing, I will be explaining about the AI and data science concepts and their differences in detail. So, without wasting any more time, let’s get started!

We had ten broken drones in a year, test flights twice a day, three PhDs in the team, a prototype of sushi sticks and a desire to find a way to stop hitting drones.

Very controversial, very unusual, very strange, but it works! At the intersection of architecture, collaborative robotics and unmanned aerial vehicles. 

Introducing: Tensodrone™.



Tensodrone is a multi-rotor UAV of a new design with collision protection, made on the principle of tensegrity. This approach allows for the combination of the protective cage and the airframe in one structure, increasing impact resistance with less weight. The project is a vivid example of the interaction of various teams of the Center for Competences of the National Technology Initiative in the field of «Robotics and Mechatronics» established at the Innopolis University in 2018.

XMage is a client-server application for playing Magic: The Gathering (MTG). XMage's development was started in early 2010. Since then, it has seen 182 releases, attracted an army of contributors, and it's still being actively developed even now. All that makes it a good reason for us to contribute to its development too! So, today the PVS-Studio unicorn is going to check the code base of XMage and maybe even get into a fight with some entities.

Do you want to raise your salary? Do you want always to be in demand? Do you want to have your job as long as you want? It is absolutely real! You just need to change the way you write your code. Basically, you need to increase your job security. You have to write code which will be almost impossible to maintain for everyone except you. And in these series of articles, I will tell you how to achieve it. Welcome under the cut.

Global Blockchain solutions spending is expected to surpass $15.9 billion in 2023. At the same time, this expenditure was $1.5 billion in 2018. Indeed, this is a huge influx in global spending, which depicts how companies will be investing more in blockchain solutions and blockchain-based mobile apps.

In this group, the major contribution will be seen from industries including finance, banking, healthcare, agriculture, and more. Amidst, outsourcing Blockchain development companies will also gain prominent attention.

If you are thinking about having Blockchain integration within your business solution, you must be having several questions in your mind, such as: what are the benefits of blockchain? Which are the best companies to hire? And more.

Several years ago we had to solve how to enqueue events with an arbitrary delay, e.g. check a status of a payment 3 hours later, or send notification to a client in 45 minutes. At that point of time, we didn't find suitable libraries to accomplish this task, which didn't require us to spend time on configuration and maintenance. After analysing possible solutions we ended up building our own small library delayed queue in Java language on top of Redis storage engine. In this article I'll explain capabilities of this library, alternatives and problems we solved during creation process.

It is always good practice to verify a circuit before using.

Switching-Mode Power Supplies are the most used circuits nowadays. But there are some difficulties with verifying their circuits: vendors do not publish models for all controllers; a model can be locked to be used with some tool; there can be errors in a model; average models want correct parameters and you need some practice of using them; transient models take a lot of time to get small-signal response and also can have errors.

Let’s try to verify one circuit using my favorite electronics design tool “Circuit Calculator”.

One of the very common questions I am getting from .NET community is how to configure and use the tree structures in EF Core. This story is one of the possible ways to do it.

The common tree structures are file tree, categories hierarchy, and so on. Let it be folders tree for example. The entity class will be a Folder:

public class Folder
{
    public Guid Id { get; set; }
    public string Name { get; set; }      
    public Folder Parent { get; set; }
    public Guid? ParentId { get; set; }
    public ICollection<Folder> SubFolders { get; } = new List<Folder>();
}